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Customer Stories
What is V7 Go?
V7 Go is a knowledge work automation platform designed for businesses to automate complex, document-intensive workflows using agentic AI. It enables teams in sectors like finance, legal, insurance, and real estate to build and deploy intelligent agents that can understand, analyze, and process documents, images, and other data with high accuracy. Instead of just performing single tasks, V7 Go orchestrates multi-step processes to deliver consistent, auditable results.
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How is V7 Go different from using ChatGPT, Claude, or other LLMs directly?
While V7 Go utilizes powerful foundation models from providers like OpenAI, Anthropic, and Google, it offers several critical advantages over calling them directly via an API. Firstly, V7 Go allows you to build agentic workflows that chain multiple models and tools together, creating a far more robust process than a single prompt could achieve. Secondly, it provides unparalleled accuracy and verifiability through AI Citations, which visually ground every insight in the source document. Moreover, V7 Go is built for business, offering enterprise-grade security, compliance, and custom permissions. Finally, through features like the Knowledge Hub, V7 Go can securely index your internal documents, allowing the AI to provide answers grounded in your company's specific data, not just the public internet.
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How does V7 Go ensure the accuracy of its AI outputs and prevent "hallucinations"?
We tackle accuracy and reliability on multiple fronts. Our core feature, AI Citations, provides visual grounding by linking every AI output directly to the highlighted text in the source document, so you can instantly verify where the information came from. We also employ Retrieval-Augmented Generation (RAG) to ground answers in your own trusted data via the Knowledge Hub, drastically reducing the risk of inventing information. By breaking complex problems into smaller, logical steps, our agents are less likely to make errors in complex reasoning chains. Furthermore, workflows can be designed to include mandatory human-in-the-loop review for critical decisions, combining AI efficiency with expert oversight.
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How does V7 Go pricing work?
V7 Go offers custom, usage-based pricing. This approach allows us to tailor a solution that fits the specific complexity, document volume, and integration needs of your business. Pricing is designed to provide clear ROI by aligning costs directly with the value you receive. For a detailed quote based on your use case, we recommend booking a demo with our team.
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What is the implementation process like, and how do we get started?
Implementation is designed to be fast and collaborative. It typically starts with a focused proof-of-concept (PoC) on one of your specific use cases. You share sample documents, and our solution engineers work with you to build a working prototype of an AI agent that solves your problem. We can often deliver a working PoC in just a few days. The best way to start is to book a demo, where we can discuss your specific challenges and show you how V7 Go can be applied to deliver immediate value.
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How is V7 Go different from V7 Darwin?
V7 Darwin and V7 Go are two distinct platforms developed by V7 that are designed for different use cases and different stages of the AI lifecycle. V7 Darwin is a data annotation platform used by technical teams for developing training data and training custom computer vision models. It focuses on the annotation of visual data like images, videos, and medical scans and managing your annotation workforce of human labelers. In contrast, V7 Go is a work automation platform for orchestrating AI workflows and applying foundation models (LLMs) to automate knowledge work. It is designed for business users in document-intensive roles to build and deploy AI agents without needing to train models themselves.
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